{"title":"Relationship between force signal and superficial electromyographic signals associated to hand movements","authors":"Camilo Leonardo Sandoval Rodríguez, Rodolfo Villamizar Mejia, Brayan Eduardo Tarazona Romero, Arly Darío Rincón Quintero, A-J Rodriguez Nieves","doi":"10.21533/pen.v11i1.3173","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3173","url":null,"abstract":"","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46005814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Drought is a common phenomenon in Iraq's environment, and the country has experienced severe drought events exacerbated by the threat of climate change (low rainfall and high temperatures) over the past two decades. Iraq is located in a semi-arid region whose water resources have been restricted and mostly shared with its neighbours. To investigate the effect of drought on the surface water area of Sawa lake, we analysed 52 Sentinel-2 images from May 2016 to July 2022 using an open-source SNAP toolbox to map the boundary of the surface-water body of the lake. The results indicate that the surface water area of Sawa lake has decreased significantly over the last six years with the most extreme decline beginning in May 2021, when the area of the lake lost about 51% of its initial size (May 2016). By March 2022, the lake had disappeared and about 96% of the water's surface area had been lost. To better understand the potential causes of droughts, further analysis has been conducted on the effects of precipitation and human activities (vegetation cover and Al-Samawah saltpan for salt production) on the lake. Investigations revealed that the rapid expansion of agricultural areas around the lake by 254% and the increase in salt production from the Al-Samawah saltpan by about 121% are among the direct causes of the drought. In addition, the results of the statistical test analysis between the estimated surface water area of Sawa lake and human activities were significant at a 95% level of confidence. The findings of this study can assist decision-makers to understand the interaction between human activities and the lake's environment to design a strategic plan for lake recovery and a sustainable water resource management system in southern Iraq.
{"title":"Monthly drought monitoring of the surface water area of Sawa Lake, Iraq during 2016-2022 using remote sensing data","authors":"Lubna Alshammari, Omar Natiq Mohammed","doi":"10.21533/pen.v11i1.3416","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3416","url":null,"abstract":"Drought is a common phenomenon in Iraq's environment, and the country has experienced severe drought events exacerbated by the threat of climate change (low rainfall and high temperatures) over the past two decades. Iraq is located in a semi-arid region whose water resources have been restricted and mostly shared with its neighbours. To investigate the effect of drought on the surface water area of Sawa lake, we analysed 52 Sentinel-2 images from May 2016 to July 2022 using an open-source SNAP toolbox to map the boundary of the surface-water body of the lake. The results indicate that the surface water area of Sawa lake has decreased significantly over the last six years with the most extreme decline beginning in May 2021, when the area of the lake lost about 51% of its initial size (May 2016). By March 2022, the lake had disappeared and about 96% of the water's surface area had been lost. To better understand the potential causes of droughts, further analysis has been conducted on the effects of precipitation and human activities (vegetation cover and Al-Samawah saltpan for salt production) on the lake. Investigations revealed that the rapid expansion of agricultural areas around the lake by 254% and the increase in salt production from the Al-Samawah saltpan by about 121% are among the direct causes of the drought. In addition, the results of the statistical test analysis between the estimated surface water area of Sawa lake and human activities were significant at a 95% level of confidence. The findings of this study can assist decision-makers to understand the interaction between human activities and the lake's environment to design a strategic plan for lake recovery and a sustainable water resource management system in southern Iraq.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47948436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, we create the quantum fuzzy Turing machine (QFTM) approach for solving fuzzy differential equations under Seikkala differentiability by combining it with a differential equation and a genetic algorithm. A theoretical model of computation called a quantum fuzzy Turing machine (QFTM) incorporates aspects of fuzzy logic and quantum physics
{"title":"Quantum fuzzy genetic algorithm with Turing to solve DE","authors":"A. Hamid, Elias Igor Klebanov, S. Albermany","doi":"10.21533/pen.v11i1.3417","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3417","url":null,"abstract":"In this study, we create the quantum fuzzy Turing machine (QFTM) approach for solving fuzzy differential equations under Seikkala differentiability by combining it with a differential equation and a genetic algorithm. A theoretical model of computation called a quantum fuzzy Turing machine (QFTM) incorporates aspects of fuzzy logic and quantum physics","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47344973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article aims to evaluate the optical and thermal behavior of a small Fresnel linear concentrator prototype developed under the appropriate technology paradigm. The system was developed by the Energy, Automation and Control Systems Research Group of the Technological Units of Santander, Colombia for water heating. The study of the device was developed from a series of simulations that took into account the optical and thermal factors of the real system, and a series of alternative scenarios that seek to improve the performance of the device were evaluated. The simulation process was carried out by applying the "TRNSYS" Software in order to study the dynamic behavior of the concentrator and the "Soltrace" Software applying the Monte Carlo Ray Tracing method. The results obtained showed that the improvement scenarios proposed to evaluate the optical characteristics of the primary reflection system do not significantly increase the performance of the device, while the optical characteristics applied to the secondary reflection system do reflect a significant increase. Finally, the variation of flow and the area of the preheater show a direct relationship in performance, reaching values that predict the ideal value of the operating variable.
{"title":"Evaluation of the incidence of optical and physical characteristics on the performance of a Fresnel Linear Collector prototype","authors":"Brayan Eduardo Tarazona Romero","doi":"10.21533/pen.v11i1.3105","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3105","url":null,"abstract":"This article aims to evaluate the optical and thermal behavior of a small Fresnel linear concentrator prototype developed under the appropriate technology paradigm. The system was developed by the Energy, Automation and Control Systems Research Group of the Technological Units of Santander, Colombia for water heating. The study of the device was developed from a series of simulations that took into account the optical and thermal factors of the real system, and a series of alternative scenarios that seek to improve the performance of the device were evaluated. The simulation process was carried out by applying the \"TRNSYS\" Software in order to study the dynamic behavior of the concentrator and the \"Soltrace\" Software applying the Monte Carlo Ray Tracing method. The results obtained showed that the improvement scenarios proposed to evaluate the optical characteristics of the primary reflection system do not significantly increase the performance of the device, while the optical characteristics applied to the secondary reflection system do reflect a significant increase. Finally, the variation of flow and the area of the preheater show a direct relationship in performance, reaching values that predict the ideal value of the operating variable.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49551329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There are several environmental, economic, and energy reasons why RC is gaining popularity around the world. Key environmental problems include the potential for groundwater contamination due to the washing out of fresh concrete brought back from project sites, as well as the loss of natural sources of high-quality aggregate materials. The RC concrete (RCA) impact on the fundamental characteristics of traditional concrete is investigated besides the effect of different ratio effects of water-cement (w/c). The concrete as crushed rubble obtained from several Iraqi demolition sites and landfills is utilized to examine the properties of (RCA). This work utilized sand as natural, and concrete as crushed from various sources as aggregates around Baghdad city. A total of forty-five concrete mixtures were cast into nine groups. Groups were created to examine the impact of recycled coarse aggregate (CA) quality/content, dosage of cement, and w/c ratio. Strengths of compressing and splitting, and modulus of elastic tests were conducted. The findings demonstrated that the concrete rubble (CR) may be turned into recycled aggregate (RC) and utilized in the concrete manufacturing with qualities adequate for the vast majority of structural concrete applications in Iraq. Furthermore, the concrete strength has decreased by 6% to 30%, depending on the proportion of RC utilized to replace natural aggregate and the w/c ratio.
{"title":"Investigation of concrete properties using recycled waste concrete aggregate","authors":"S. Mohammed, S. Naimi","doi":"10.21533/pen.v11i1.3368","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3368","url":null,"abstract":"There are several environmental, economic, and energy reasons why RC is gaining popularity around the world. Key environmental problems include the potential for groundwater contamination due to the washing out of fresh concrete brought back from project sites, as well as the loss of natural sources of high-quality aggregate materials. The RC concrete (RCA) impact on the fundamental characteristics of traditional concrete is investigated besides the effect of different ratio effects of water-cement (w/c). The concrete as crushed rubble obtained from several Iraqi demolition sites and landfills is utilized to examine the properties of (RCA). This work utilized sand as natural, and concrete as crushed from various sources as aggregates around Baghdad city. A total of forty-five concrete mixtures were cast into nine groups. Groups were created to examine the impact of recycled coarse aggregate (CA) quality/content, dosage of cement, and w/c ratio. Strengths of compressing and splitting, and modulus of elastic tests were conducted. The findings demonstrated that the concrete rubble (CR) may be turned into recycled aggregate (RC) and utilized in the concrete manufacturing with qualities adequate for the vast majority of structural concrete applications in Iraq. Furthermore, the concrete strength has decreased by 6% to 30%, depending on the proportion of RC utilized to replace natural aggregate and the w/c ratio.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41344497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-27DOI: 10.28978/nesciences.1223571
Berat Cinar Acar, Z. Yüksekdağ
In this research, food (cheese, yoghurt) and animal (chicken) origin 39 Lactobacillus spp. and human origin (newborn faeces) three Bifidobacterium spp. were used. To designate the β-glycosidase enzyme and specific activities of the cultures, p-nitrophenyl-β-D glikopiranozit (p-NPG) was used as a substrate. The best specific activities between Lactobacilli cultures were observed at Lactobacillus rhamnosus BAZ78 (4.500 U/mg), L. rhamnosus SMP6-5 (2.670 U/mg), L. casei LB65 (3.000 U/mg) and L. casei LE4 (2.000 U/mg) strains. Bifidobacterium breve A28 (2.670 U/mg) and B. longum BASO15 (2.330 U/mg) strains belonging to the Bifidobacterium cultures had the highest specific activity capabilities. Optimization studies were performed to designate the impact of different pH, temperature, and carbon sources on the β-glucosidase enzyme of L. rhamnosus BAZ78 strain (β-Glu-BAZ78), which exhibits high specific activity. As optimum conditions, pH was detected as 7.5, the temperature as 30° C, and the carbon source as 2% glucose for the enzyme. Although the enzyme activity changed as the physiological conditions changed, the β-Glu-BAZ78 showed the highest specificity in the control groups.
{"title":"Beta-Glycosidase Activities of Lactobacillus spp. and Bifidobacterium spp. and The Effect of Different Physiological Conditions on Enzyme Activity","authors":"Berat Cinar Acar, Z. Yüksekdağ","doi":"10.28978/nesciences.1223571","DOIUrl":"https://doi.org/10.28978/nesciences.1223571","url":null,"abstract":"In this research, food (cheese, yoghurt) and animal (chicken) origin 39 Lactobacillus spp. and human origin (newborn faeces) three Bifidobacterium spp. were used. To designate the β-glycosidase enzyme and specific activities of the cultures, p-nitrophenyl-β-D glikopiranozit (p-NPG) was used as a substrate. The best specific activities between Lactobacilli cultures were observed at Lactobacillus rhamnosus BAZ78 (4.500 U/mg), L. rhamnosus SMP6-5 (2.670 U/mg), L. casei LB65 (3.000 U/mg) and L. casei LE4 (2.000 U/mg) strains. Bifidobacterium breve A28 (2.670 U/mg) and B. longum BASO15 (2.330 U/mg) strains belonging to the Bifidobacterium cultures had the highest specific activity capabilities. Optimization studies were performed to designate the impact of different pH, temperature, and carbon sources on the β-glucosidase enzyme of L. rhamnosus BAZ78 strain (β-Glu-BAZ78), which exhibits high specific activity. As optimum conditions, pH was detected as 7.5, the temperature as 30° C, and the carbon source as 2% glucose for the enzyme. Although the enzyme activity changed as the physiological conditions changed, the β-Glu-BAZ78 showed the highest specificity in the control groups.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87722774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the past few years, it is noticed that management and sharing medical records is a key step towards increasing healthcare provider connectivity and making the healthcare system more efficient. The scalability and sustainability issues confer to mismanagement of patient is record and also raised several issues in privacy and security. The study aims to suggest more efficient alternatives for Electronic Healthcare System. Scalability and privacy are the major limitations that existing systems contain so the goal of this study is to define alternatives about how parameters like scalability, usability and data protection could be achieved in an efficient manner for healthcare system. In the healthcare industry, providing accurate, thorough, and up-to-date information on patients is critical. Another feature that allows researchers to consider efficient EHR systems is rapid access to patient records for boosting efficiency and coordination. Blockchain sharding technique is utilized along with hyper-ledger protocols and Proof-of-Authority to carry out our model implementation.
{"title":"Adapting hybrid approaches for electronic medical record management and sharing using blockchain sharding","authors":"Abdulmajeed Abbas, Md. Abdul Hamid","doi":"10.21533/pen.v11i1.3405","DOIUrl":"https://doi.org/10.21533/pen.v11i1.3405","url":null,"abstract":"In the past few years, it is noticed that management and sharing medical records is a key step towards increasing healthcare provider connectivity and making the healthcare system more efficient. The scalability and sustainability issues confer to mismanagement of patient is record and also raised several issues in privacy and security. The study aims to suggest more efficient alternatives for Electronic Healthcare System. Scalability and privacy are the major limitations that existing systems contain so the goal of this study is to define alternatives about how parameters like scalability, usability and data protection could be achieved in an efficient manner for healthcare system. In the healthcare industry, providing accurate, thorough, and up-to-date information on patients is critical. Another feature that allows researchers to consider efficient EHR systems is rapid access to patient records for boosting efficiency and coordination. Blockchain sharding technique is utilized along with hyper-ledger protocols and Proof-of-Authority to carry out our model implementation.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45370333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pneumonia is a type of lung disease that can be detected using X-ray images. The analysis of chest X-ray images is an active research area in medical image analysis and computer-aided radiology. This research aims to improve the accuracy and efficiency of radiologists' work by providing a technique for identifying and categorizing diseases. More attention should be given to applying machine learning approaches to develop a robust chest X-ray image classification method. The typical method for detecting Pneumonia is through chest X-ray images but analyzing these images can be complex and requires the expertise of a radiographer. This paper demonstrates the feasibility of detecting the disease using chest X-ray images as datasets and a Support Vector Machine combined with a Naive Bayesian classifier, with PCA and GA as feature selection methods. The selected features are essential for training many classifiers. The proposed system achieved an accuracy of 92.26%, using 91% of the principal component. The study's result suggests that using PCA and GA for feature selection in chest X-ray image classification can achieve a good accuracy of 97.44%. Further research is needed to explore the use of other data mining models and care components to improve the accuracy and effectiveness of the system.
{"title":"Enhanced feature selection algorithm for pneumonia detection","authors":"S. Abdullah, Wafaa M. Salih Abedi, R. Hadi","doi":"10.21533/pen.v10i6.3397","DOIUrl":"https://doi.org/10.21533/pen.v10i6.3397","url":null,"abstract":"Pneumonia is a type of lung disease that can be detected using X-ray images. The analysis of chest X-ray images is an active research area in medical image analysis and computer-aided radiology. This research aims to improve the accuracy and efficiency of radiologists' work by providing a technique for identifying and categorizing diseases. More attention should be given to applying machine learning approaches to develop a robust chest X-ray image classification method. The typical method for detecting Pneumonia is through chest X-ray images but analyzing these images can be complex and requires the expertise of a radiographer. This paper demonstrates the feasibility of detecting the disease using chest X-ray images as datasets and a Support Vector Machine combined with a Naive Bayesian classifier, with PCA and GA as feature selection methods. The selected features are essential for training many classifiers. The proposed system achieved an accuracy of 92.26%, using 91% of the principal component. The study's result suggests that using PCA and GA for feature selection in chest X-ray image classification can achieve a good accuracy of 97.44%. Further research is needed to explore the use of other data mining models and care components to improve the accuracy and effectiveness of the system.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42640492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes mellitus is considered one of the foremost common and extreme diseases worldwide. A precise and early diagnosis of diabetes is essential to avoid complications and is of crucial importance to the medical care that patients get. To achieve that, we need to develop a model to predict diabetes. There are many prediction models, but they suffer from some problems such as the accuracy of prediction being poor and the time complexity. The prediction process is highly dependent on important features. So, in this paper, we proposed a new model called (CAER-DNN) that depends on an unsupervised technique for generating newly important features and a deep neural network for the prediction process. The unsupervised technique is called complete autoencoder with regularization techniques (CAER) that uses to reconstruct the original features (newly learned features). It is focused too much on training the most important learned features and misses out on less important features. Thus, improving the performance of the prediction process. These important features are used as input to the deep neural network for the prediction of diabetes. Our model is applied to two sets of data including Pima Indian and Mendeley diabetic datasets. Based on the 10-fold cross-validation technique Pima Indian dataset achieves high performance in evaluation measures (f1-score 97.38%, accuracy, recall 97.25%, specificity 97.59%, precision 97.53%,). While the Mendeley diabetes dataset achieved high performance in evaluation measures (f1-score 94.51%, accuracy 98.48, recall 91.74%, accuracy-balance 98.21%, precision 98.21%) based on the holdout technique. compared with other existing machine learning and deep learning techniques our model outperformed existing techniques.
{"title":"Enhanced the prediction approach of diabetes using an autoencoder with regularization and deep neural network","authors":"H. A. Ismael, Nabeel Al-A'araji, B. K. Shukur","doi":"10.21533/pen.v10i6.3394","DOIUrl":"https://doi.org/10.21533/pen.v10i6.3394","url":null,"abstract":"Diabetes mellitus is considered one of the foremost common and extreme diseases worldwide. A precise and early diagnosis of diabetes is essential to avoid complications and is of crucial importance to the medical care that patients get. To achieve that, we need to develop a model to predict diabetes. There are many prediction models, but they suffer from some problems such as the accuracy of prediction being poor and the time complexity. The prediction process is highly dependent on important features. So, in this paper, we proposed a new model called (CAER-DNN) that depends on an unsupervised technique for generating newly important features and a deep neural network for the prediction process. The unsupervised technique is called complete autoencoder with regularization techniques (CAER) that uses to reconstruct the original features (newly learned features). It is focused too much on training the most important learned features and misses out on less important features. Thus, improving the performance of the prediction process. These important features are used as input to the deep neural network for the prediction of diabetes. Our model is applied to two sets of data including Pima Indian and Mendeley diabetic datasets. Based on the 10-fold cross-validation technique Pima Indian dataset achieves high performance in evaluation measures (f1-score 97.38%, accuracy, recall 97.25%, specificity 97.59%, precision 97.53%,). While the Mendeley diabetes dataset achieved high performance in evaluation measures (f1-score 94.51%, accuracy 98.48, recall 91.74%, accuracy-balance 98.21%, precision 98.21%) based on the holdout technique. compared with other existing machine learning and deep learning techniques our model outperformed existing techniques.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48080281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erbil city is recognized by its historical monuments. The citadel which is believed to be one of the oldest continuously inhabited civilized settlements was listed on UNESCO’s permanent World Heritage List (2014). A comprehensive preservation plan for the citadel was approved by the local authorities in 2006. This plan included recommendations for what was later called the Citadel's buffer zones. The buffer zone includes the traditional sectors of Erbil. Enormous efforts were done during the last decade by local authorities, UNESCO, NGOs, and local individuals. This study aims to assess and categorize preservation efforts implemented in these areas. The literature review diagnosed three main approaches for preservation that are followed in various parts of the world. These approaches can be categorized into two main approaches (dead and living heritage approaches). The preservation methods followed in the selected maintained structures within Erbil's traditional sectors were assessed by detecting 40 criteria that represent both approaches. The assessment was conducted through fieldwork in which 222 samples (vernacular and traditional buildings) were included. Statistical analysis depicted that the local authorities' approaches can be regarded as a dead heritage approach, while the recommended approach in the approved plan for the revitalization of Erbil Citadel and other traditional sectors can be regarded as a living heritage preservation approach. The paper recommends the living heritage preservation approach as a rescue from the at-risk status of built heritage structures of traditional sectors in Erbil city.
{"title":"Preserved built heritage assessment as dead or living: An assessment study regarding built heritage safeguarding approaches in Erbil","authors":"Mohamed Yahya Mohamed Al-Barzngy, Mahmood Khayat","doi":"10.21533/pen.v10i6.3391","DOIUrl":"https://doi.org/10.21533/pen.v10i6.3391","url":null,"abstract":"Erbil city is recognized by its historical monuments. The citadel which is believed to be one of the oldest continuously inhabited civilized settlements was listed on UNESCO’s permanent World Heritage List (2014). A comprehensive preservation plan for the citadel was approved by the local authorities in 2006. This plan included recommendations for what was later called the Citadel's buffer zones. The buffer zone includes the traditional sectors of Erbil. Enormous efforts were done during the last decade by local authorities, UNESCO, NGOs, and local individuals. This study aims to assess and categorize preservation efforts implemented in these areas. The literature review diagnosed three main approaches for preservation that are followed in various parts of the world. These approaches can be categorized into two main approaches (dead and living heritage approaches). The preservation methods followed in the selected maintained structures within Erbil's traditional sectors were assessed by detecting 40 criteria that represent both approaches. The assessment was conducted through fieldwork in which 222 samples (vernacular and traditional buildings) were included. Statistical analysis depicted that the local authorities' approaches can be regarded as a dead heritage approach, while the recommended approach in the approved plan for the revitalization of Erbil Citadel and other traditional sectors can be regarded as a living heritage preservation approach. The paper recommends the living heritage preservation approach as a rescue from the at-risk status of built heritage structures of traditional sectors in Erbil city.","PeriodicalId":37519,"journal":{"name":"Periodicals of Engineering and Natural Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46449071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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